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  • How To Think About AI A Guide For The Perplexed : A Guide For The Perplexed - Richard Susskind
    How To Think About AI A Guide For The Perplexed
    A Guide For The Perplexed
    Richard Susskind
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  • Superintelligence : Paths, Dangers, Strategies - Nick Bostrom
    Superintelligence
    Paths, Dangers, Strategies
    Nick Bostrom
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  • How We Learn : The New Science of Education and the Brain - Stanislas Dehaene
    How We Learn
    The New Science of Education and the Brain
    Stanislas Dehaene
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  • HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri
    HBR Guide to Generative AI for Managers
    HBR Guide
    Elisa Farri and Gabriele Rosani
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  • Hands-On Large Language Models : Language Understanding and Generation - Jay Alammar
    Hands-On Large Language Models
    Language Understanding and Generation
    Jay Alammar and Maarten Grootendorst
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  • Deep Learning for Coders with fastai and PyTorch : AI Applications Without a PhD - Jeremy Howard
    Deep Learning for Coders with fastai and PyTorch
    AI Applications Without a PhD
    Jeremy Howard and Sylvain Gugger
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  • Modern Data Analytics in Excel : Using Power Query, Power Pivot and More for Enhanced Data Analytics - George Mount
    Modern Data Analytics in Excel
    Using Power Query, Power Pivot and More for Enh...
    George Mount
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  • Data Governance: The Definitive Guide : People, Processes, and Tools to Operationalize Data Trustworthiness - Anita Kibunguchy
    Data Governance: The Definitive Guide
    People, Processes, and Tools to Operationalize ...
    Anita Kibunguchy, Valliappa Lakshmanan, Uri Gilad, Jessi Ashdown and Evren Eryurek
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  • Building AI-Powered Products : The Essential Guide to AI and GenAI Product Management - Marily Nika
    Building AI-Powered Products
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    Marily Nika
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  • R for Data Science : Import, Tidy, Transform, Visualize, and Model Data - Garrett Grolemund
    R for Data Science
    Import, Tidy, Transform, Visualize, and Model Data
    Garrett Grolemund, Mine Cetinkaya-Rundel and Hadley Wickham
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  • Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python - Deborah Nolan
    Learning Data Science
    Data Wrangling, Exploration, Visualization, and...
    Deborah Nolan, Sam Lau and Joseph Gonzalez
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  • Hands-On Entity Resolution : A Practical Guide to Data Matching with Python - Michael Shearer
    Hands-On Entity Resolution
    A Practical Guide to Data Matching with Python
    Michael Shearer
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  • Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh - James Serra
    Deciphering Data Architectures
    Choosing Between a Modern Data Warehouse, Data ...
    James Serra
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  • Effective Machine Learning Teams : Best Practices for ML Practitioners - Ada Leung
    Effective Machine Learning Teams
    Best Practices for ML Practitioners
    Ada Leung, David Tan and David Colls
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  • Data Science on AWS : Implementing End-to-End, Continuous AI and Machine Learning Pipelines - Antje Barth
    Data Science on AWS
    Implementing End-to-End, Continuous AI and Mach...
    Antje Barth and Chris Fregly
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  • Mathematics for Machine Learning - Marc Peter Deisenroth
    Mathematics for Machine Learning
    Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong
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  • Learning Spark : Lightning-Fast Data Analytics - Brooke Wenig
    Learning Spark
    Lightning-Fast Data Analytics
    Brooke Wenig, Tathagata Das, Jules Damji and Denny Lee
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  • Generative AI on Aws : Building Context-Aware Multimodal Reasoning Applications - Antje Barth
    Generative AI on Aws
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    Antje Barth, Shelbee Eigenbrode and Chris Fregly
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  • A Concise Introduction to Robot Programming with ROS 2 - Francisco Martin Rico
    A Concise Introduction to Robot Programming with ROS 2
    Francisco Martin Rico
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  • Why Data Science Projects Fail : The Harsh Realities of Implementing AI and Analytics, without the Hype - Douglas Gray
    Why Data Science Projects Fail
    The Harsh Realities of Implementing AI and Anal...
    Douglas Gray and Evan Shellshear
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  • Machine Learning with Python Cookbook : 2nd Edition - Practical Solutions from Preprocessing to Deep Learning - Chris Albon
    Machine Learning with Python Cookbook
    2nd Edition - Practical Solutions from Preproce...
    Chris Albon and Kyle Gallatin
    Paperback
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  • Machine Learning Interviews : Kickstart Your Machine Learning Career - Susan Shu Chang
    Machine Learning Interviews
    Kickstart Your Machine Learning Career
    Susan Shu Chang
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  • AI-Powered Scholar : A Beginner's Guide to Artificial Intelligence for Academic Writing & Research - Bron Eager
    AI-Powered Scholar
    A Beginner's Guide to Artificial Intelligence f...
    Bron Eager
    Paperback
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  • Building Generative AI Services with Fastapi : A Practical Approach to Developing Context Rich Generative AI Applications - Ali Parandeh
    Building Generative AI Services with Fastapi
    A Practical Approach to Developing Context Rich...
    Ali Parandeh
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  • 3D Data Science with Python : Building Accurate Digital Environments with 3D Point Cloud Workflows - Florent Poux
    3D Data Science with Python
    Building Accurate Digital Environments with 3D ...
    Florent Poux
    Paperback
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    RRP $152.00
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  • Neo4j: The Definitive Guide : Hands-On Recipes for Production Ready Graph Implementations - Christophe Willemsen
    Neo4j: The Definitive Guide
    Hands-On Recipes for Production Ready Graph Imp...
    Christophe Willemsen and Luanne Misquitta
    Paperback
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    RRP $152.00
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  • Learning LangChain : Building AI and LLM Applications with LangChain and LangGraph - Mayo Oshin
    Learning LangChain
    Building AI and LLM Applications with LangChain...
    Mayo Oshin and Nuno Campos
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  • AI Value Creators : Beyond the Generative AI User Mindset - Dario Gil
    AI Value Creators
    Beyond the Generative AI User Mindset
    Dario Gil
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  • Designing Large Language Model Applications : A Holistic Approach - Suhas Pai
    Designing Large Language Model Applications
    A Holistic Approach
    Suhas Pai
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    RRP $152.00
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  • AI-Assisted Programming : Better Planning, Coding, Testing, and Deployment - Tom Taulli
    AI-Assisted Programming
    Better Planning, Coding, Testing, and Deployment
    Tom Taulli
    Paperback
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  • Hands-On Generative AI with Transformers and Diffusion Models - Apolinario Passos
    Hands-On Generative AI with Transformers and Diffusion Models
    Apolinario Passos, Pedro Cuenca, Omar Sanseviero and Jonathan Whitaker
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  • Prompt Engineering for LLMs : The Art and Science of Building Large Language Model-Based Applications - Albert Ziegler
    Prompt Engineering for LLMs
    The Art and Science of Building Large Language ...
    Albert Ziegler and John Berryman
    Paperback
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  • Reinforcement Learning for Finance : A Python-Based Introduction - Yves Hilpisch
    Reinforcement Learning for Finance
    A Python-Based Introduction
    Yves Hilpisch
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    Tiny ML
    Pete Warden
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    Building Machine Learning Powered Applications
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    Emmanuel Ameisen
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  • Learning Microsoft Power Apps : Building Business Applications with Low-Code Technology - Arpit Shrivastava
    Learning Microsoft Power Apps
    Building Business Applications with Low-Code Te...
    Arpit Shrivastava
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  • Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python - Sofien Kaabar
    Deep Learning for Finance
    Creating Machine & Deep Learning Models for Tra...
    Sofien Kaabar
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  • Scaling Python with Dask : From Data Science to Machine Learning - Holden Karau
    Scaling Python with Dask
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    Holden Karau and Mika Kimmins
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  • Graph-Powered Analytics and Machine Learning with TigerGraph : Driving Business Outcomes with Connected Data - Ph.D., Victor Lee
    Graph-Powered Analytics and Machine Learning with TigerGraph
    Driving Business Outcomes with Connected Data
    Ph.D., Victor Lee, Xinyu Chang and Phuc Kien Nguyen
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  • Causal Inference in Python : Applying Causal Inference in the Tech Industry - Matheus Facure
    Causal Inference in Python
    Applying Causal Inference in the Tech Industry
    Matheus Facure
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    Practical Weak Supervision
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    Amit Bahree, Wee Hyong Tok and Senja Filipi
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  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition : Algorithms, Worked Examples, and Case Studies - John D. Kelleher
    Fundamentals of Machine Learning for Predictive Data Analytics, second edition
    Algorithms, Worked Examples, and Case Studies
    John D. Kelleher, Brian Mac Namee and Aoife D'Arcy
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  • Blueprints for Text Analytics using Python : Machine Learning Based Solutions for Common Real World (NLP) Applications - Christian Winkler
    Blueprints for Text Analytics using Python
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    Christian Winkler, Sidharth Ramachandran and Jens Albrecht
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  • The Self-Service Data Roadmap : Democratize Data and Reduce Time to Insight - Sandeep Uttamchandani
    The Self-Service Data Roadmap
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    A Hands-On Introduction to Machine Learning
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    Practical MLOps
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    Machine Learning for Factor Investing
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